2 papers
cs.LG2026
World Machine: Towards Generative World Modeling for Time-Series
Elton Cardoso do Nascimento, Alexandre da Silva Simões, Esther Luna Colombini +2
World models represent a paradigm shift in generative AI, pursuing predictive understanding and controllable simulation of environments in a structured and generalizable way. We pr…
cs.LG2025
Binarized Neural Networks Converge Toward Algorithmic Simplicity: Empirical Support for the Learning-as-Compression Hypothesis
Eduardo Y. Sakabe, Felipe S. Abrahão, Alexandre Simões +4
Understanding and controlling the informational complexity of neural networks is a central challenge in machine learning, with implications for generalization, optimization, and mo…